Senior Analytics Engineer

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com .

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. 

We Are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. 

About The Team

The Analytics Data Engineering team's purpose is to design, build, and maintain scalable and efficient data infrastructure that empowers Life360 teams to make data-driven decisions. We transform raw data into reliable, accessible, and actionable insights, ensuring data quality, compliance, security, costs and performance at every step. We help teams across the business unlock the full potential of their data, driving operational excellence and strategic growth. We also push the boundaries of how work gets done by adopting AI tools that accelerate our development and expand what we can deliver to stakeholders, so families get faster, more reliable experiences.

About the Job

At Life360, we collect a lot of data: 60 billion unique location points, 12 billion user actions, 8 billion miles driven every single month, and so much more. As a Senior Analytics Engineer, you will be responsible for transforming this wealth of data into trusted, well-modeled datasets that power analytics, reporting, and data science initiatives across the organization. You should have a strong foundation in data modeling, SQL, and Python, deep understanding of business metrics, and a passion for making data accessible and understandable to stakeholders at all levels. Beyond modeling and analytics engineering, you will take on some data engineering responsibilities, working directly within our Databricks-based platform to help build and maintain the pipelines that feed the datasets you model.

For candidates based in the US, the salary range for this position is $148,000 to $218,500 USD. For candidates based out of Canada, the salary range for this position is 171,500 to $201,000 CAD. We take into consideration an individual's background and experience in determining final salary; therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

AI-Native Expectations

The Analytics Data Engineering team leverages LLMs to support code generation, analysis, and other use cases. Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing, while owning the outputs as your own. Your work with and ability to leverage these tools (Claude, Cursor, CoPilot) will drive your velocity and ability to effectively work within our environment.

What You’ll Do

Primary responsibilities include, but are not limited to:

Design and implement robust dimensional and relational data models that support analytical use cases across Product, Marketing, Operations, and Finance

Build and maintain scalable dbt transformation pipelines, ensuring high data quality, performance, and cost-efficiency from raw ingestion to business-ready outputs

Own the transformation and modeling of curated (Silver/Gold) datasets, ensuring clear contracts and traceability from raw to business-ready data.

Partner with data engineering to build and maintain data pipelines and Delta Lake tables within Databricks, including basic ingestion, transformation, and orchestration work.

Collaborate with data analysts, product analytics, data scientists, and business stakeholders to translate requirements into durable data products that support experimentation, A/B testing, and advanced analytics

Implement data quality tests, monitoring, SLAs, and alerting to ensure reliability of critical analytical datasets

Enhance our LLM development support capabilities – creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.

Partner with Data Engineers to define and enforce data contracts, ensuring schema stability and minimizing downstream breakage

Establish and evangelize analytics engineering best practices, including version control, code review, testing standards, and documentation

Empower self-service analytics by building intuitive, well-documented data marts and semantic layers

Success in Year One

Within the first year in this role, the person hired will have built canonical gold and silver models for the reporting revamp and consolidation effort, serving as the source of truth across all business lines and products and reconciling cleanly against partner data. Building on that foundation, they will have automated revenue and performance reporting directly from these models, removing the manual overhead that currently sits between raw data and trusted numbers. They will have also delivered a semantic layer, enabling executives, Product, Finance, and Accounting to self-serve their own reporting and data requests without routing every question through the data team. Finally, they will have set up alerting for metric trend changes and anomalies, so issues surface proactively rather than being discovered after the fact.

What We’re Looking For

Minimum 5+ years of experience in analytics engineering, data modeling, or similar roles working with enterprise-scale data, and demonstrated ownership of data products and cross-functional collaboration

Experience using AI/LLM coding assistants (for example, GitHub Copilot, Cursor, or Claude Code), with a disciplined approach to reviewing, testing, and owning generated code rather than accepting it at face value.

Expert-level SQL skills with deep understanding of query optimization and performance tuning

Extensive experience with dbt (data build tool) including testing, documentation, and package management

Strong programming skills in Python for data manipulation, automation, and custom analytics workflows

Strong understanding of dimensional modeling, star schemas, one big table, and other data modeling methodologies

Working knowledge of the Databricks platform, including SQL Warehouses, Delta Lake, and Unity Catalog; experience with other modern cloud data warehouses (Snowflake, BigQuery, or Redshift) is a plus and readily transferable.

Familiarity with orchestration frameworks and how analytics transformations are scheduled within broader data workflows 

Experience working with version control systems (Git) and implementing CI/CD for analytics code

Strong business acumen and ability to translate business requirements into well-designed data models

Prior experience working with advertising, ad tech, or media data is preferred.

Understanding of data governance, privacy, and compliance requirements (GDPR, CCPA, and SOX) 

Familiarity with BI tools (Tableau, Looker, Mode, or similar) and how analysts consume data

Strong ownership mindset with a passion for deeply understanding ambiguous business problems and translating them into clean, maintainable, and well-tested data models.

Excellent communication skills with ability to explain technical concepts to both technical and non-technical audiences

Dedication to data quality, documentation, and empowering others through self-service analytics

Bachelor's degree or equivalent experience in Computer Science, Information Security, or a related field

Our Benefits

Competitive pay and benefits.

Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.

401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.

Employee Assistance Program (EAP) for mental wellness.

Flexible PTO and 12 company wide days off throughout the year.

Learning & Development programs.

Equipment, tools, and reimbursement support for a productive remote environment.

Free Life360 Platinum Membership for your preferred circle.

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

Be a Good Person - We have a team of high integrity people you can trust. 

Be Direct With Respect - We communicate directly, even when it’s hard.

Members Before Metrics - We focus on building an exceptional experience for families. 

High Intensity High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote